Machine Learning is a science that enables machines (especially computers) to learn from environments and make own decisions.

Research Activities

  • The Machine Learning Laboratory (MLL) carries out research and develops different theoretical foundations for machine learning such as:
  • Reinforcement Learning, Deep Learning, Statistical Learning Theory, Multi-agent Systems, Game Theory and Mechanism Design, Blockchains, Explainable and Fair AI
  • How machines and multi-agent systems should help in planning activities by learning from environments
  • How learning gets affected if different machine learning and multi-agent systems algorithms are trying compete instead of cooperating
  • How machines should learn in the presence of noisy environment or partial supervision
  • Role of deep learning in planning, reinforcement learning, AI in game theory, blockchains and its applications
  • For more details: Research Projects

Recent News

  • Our paper ‘FNNC: Achieving Fairness through Neural Networks’ got accepted in IJCAI 2020
  • Our lab members secure PhD admits with coveted research groups around the world: Susobhan Ghosh with the EconCS group at Harvard, Moin Moti with HKUST, and Rohith Gangam Reddy with UCI
  • Three of our papers get accepted for full presentation in ALA, GAIW, EMAS, workshops at AAMAS’20
    Three of our papers get accepted for the main conference at AAMAS’20
  • Our Paper ‘Human-Machine Collaboration for Face Recognition’ got best paper runner up award at CoDS-COMAD 2020
  • One paper is accepted in INFOCOM 2020
  • Three of our papers get accepted in AAAI 2020

Contact Us

Machine Learning Laboratory,
Kohli Research Block,
International Institute of Information Technology, Hyderabad
Gachibowli, Hyderabad 500032